CCCC Proposal Keywords

Not much especially revelatory or surprising in my mentioning that I am happy to see keywords added to the CCCC 2015 proposal system. I love the idea, see it as an important and long overdue addition to the process and also a promising source of new semantic patterning studies (e.g., corroborating proposal language, theme, keywords, and more). I had the good fortune of working with Joyce Carter at last year’s Stage II review in mid-June, and, as we assembled solo proposals into panels, the prospective usefulness of a secondary classification system surfaced again and again, and we talked quite a bit about how a modest set of keywords could, without adding much to the work involved with preparing proposals, suggest otherwise quiet or subtle threads across proposals.

Here’s the recent video from Joyce describing the what and why of the new keywords field:

A week ago Saturday, the Saturday of #4c14 in Indianapolis, I was at the Cross-Generational Task Force meeting, where we spent a few minutes talking about the importance of recommending a semantic baseline for the keyword associated with cross-generational proposals. We settled on XGEN. Simple and with no hyphen. Other variations might have been “cross-gen,” “x-generational,” “cross-generational,” “X-GEN,” and so on. Could be twenty or more variations. Some of these variations might still sneak onto proposals, despite the suggestion of XGEN, and that’s okay. All variations will be useful as descriptive keywords, right? That said, the semantic variation risks restricting their usefulness to description, which is the main reason we agreed upon XGEN as a the preferred indexical token. With it, we improve the term’s prospects of functioning both descriptively and relationally.

I don’t know whether other groups will follow this model. I look forward to seeing how this will go. How might groups wishing to sponsor a keyword do so? With email blasts to listservs or to SIG and Standing Group membership rosters? Sure. These approaches will probably work just fine. But I was also considering, after seeing Joyce’s video and after the task force meeting (and the follow-up email to WPA-l), how a simple collector, such as an openly editable Google Doc, might support broader efforts to articulate common keywords that are both descriptive and relational (or indexically reliable across the set). In the spirit of give-things-a-try, I’ve created just such a document at #4c15 Proposal Keyword Collector (reference), and will add to it as I see suggestions pop up on WPA-L or elsewhere. It’s openly editable, too, so if you have an idea for a more or less sponsored keyword that would cohere presentations across these secondary classifications, please feel free to add to it.

WIDE-EMU Update

We’ve concluded the first phase of WIDE-EMU Conference logothe WIDE-EMU Conference—Propose, which yielded 38 proposals from 56 conference participants. Proposals arrived from four states (Michigan, Indiana, Ohio, and Kentucky), fourteen colleges or universities, two high schools, and three National Writing Project sites. The planning team met via Google Hangout yesterday afternoon to discuss Phase Two and delegate various tasks to prepare for the October 15 unconference. For example, we will contact all participants soon with an explanation of Phase Two, provide examples of the online pieces due between now and Oct. 1, and draft a schedule for the day of the event.

We also looked at the summary data from the form-fed Google Spreadsheet. The automatic tallies helped us quickly plot the number of rooms we will need. The spreadsheet summary isn’t as of yet especially easy to share online, but here are cropped sections representative of the graphic elements.

Proposal type pie chart
Student status pie chart
Proposal influx graph

The last graph shows when the proposals arrived. I speculated that the graph probably follows a law of calls (for conferences or CFPs), and Bill pointed out that in the final 36 hours we received the same number of proposals we’d received since we opened the call. So that would suggest the number of proposals in the final x days equals the number of proposals in the final x hours (there are barriers operating here, e.g., the number of proposals received in the last 1 day are not equal to the number received in the final 1 hour; the function remains murky). I don’t know of any other public datasets on proposal submission distributions in time, though, so somebody will either have to point me to those or we’ll have to wait until the next WIDE-EMU Conference to run the experiment. Come to think of it, for how much is made of acceptance rates, it would be interesting to see acceptance rates cross-referenced with the proposal influx, wouldn’t it?

Law of calls or not, that’s the latest.